Acoustic Inverse Methods Research Internship (Python)

Inria

Strasbourg

Hybride

EUR 6 700 - 10 000

Temps partiel

14 jours+
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV personnalisé et une lettre de motivation qui correspondent directement à l’offre.

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Avantages offerts par ce poste

Partial transport reimbursement
6 months teleworking possibility
Flexible working hours
Professional equipment provided

Résumé du poste

Inria in Strasbourg invites a pre-thesis internship focused on new algorithms for automated room acoustic diagnosis. The work combines acoustics, signal processing and machine learning, with Python programming as a core skill.

The position is based at Cerema in Strasbourg for a duration of about one month. Candidates should hold a Master's level in relevant fields and demonstrate strong Python programming abilities; knowledge of acoustics and PDEs is a plus.

Qualifications

  • Master's level in CS, signal processing, acoustics or applied math.
  • Excellent Python programming skills; Matlab a plus.
  • Knowledge or interest in audio or acoustics is highly desirable; PDEs a plus.

Responsabilités

  • Consolidate results from this topic through a master internship.
  • Write a scientific article for journal submission based on findings.
  • Perform Python programming tasks.
  • Carry out bibliographical studies.

Connaissances

Optimization
Signal processing
Machine learning
Deep learning
Python
Acoustics knowledge
PDEs
Master's degree

Formation

Master's degree (CS / signal processing / acoustics / applied math)

Outils

Python
Matlab

Description du poste

Inria in Strasbourg invites a pre-thesis internship focused on new algorithms for automated room acoustic diagnosis. The work combines acoustics, signal processing and machine learning, with Python programming as a core skill.

The position is based at Cerema in Strasbourg for a duration of about one month. Candidates should hold a Master's level in relevant fields and demonstrate strong Python programming abilities; knowledge of acoustics and PDEs is a plus.

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